• Child Health Nursing Research
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• v.29 no.3
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• pp.166-181
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• 2023

Purpose: This study examined the literature concerning the burdens of parents of preschool-aged children diagnosed with type 1 diabetes mellitus. Methods: We employed an integrative review methodology based on Whittemore and Knafl's framework. The literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines across four electronic databases: PubMed, Web of Science, the Cumulative Index to Nursing Allied Health Literature (CINAHL), and PsycINFO. Ultimately, 18 articles were included in the review. Results: The review yielded four themes: (1) parental burdens, (2) factors related to the burdens, (3) coping strategies, and (4) implications for clinical practice. Parents experienced psychological, physical, and social burdens due to the diabetes care of their children. Several factors influenced burdens, including child-related characteristics such as age, severity of diabetes, and hospitalization experience, as well as parental factors like family income, race, and residential area. Parents initially felt burdened when their child was diagnosed with type 1 diabetes, but over time, they often adapted to the situation through support and sharing of responsibilities. Parents desired education and interventions reflecting the unique characteristics of preschoolers. Conclusion: This integrative literature review revealed that parents experience numerous burdens when their child is diagnosed with diabetes. Future research should focus on developing interventions to address parents' psychological difficulties, including tracking parental psychological changes over time. Tailored nursing interventions should also be provided to parents of preschool-aged children, as opposed to the more generic nursing interventions traditionally applied across all age groups of children in clinical settings.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.15 no.2
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• pp.178-185
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• 2008

Purpose: This study was done to investigate the relationship between depression, self-care activity and $HbA_1c$ in clients with type-2 diabetes mellitus (DM) clients. Method: This was a cross sectional descriptive study and data were collected between October 4 and 27, 2006 using a questionnaire. The participants were inpatients and outpatients with type-2 diabetes being seen in one of two hospitals. The questionnaire included general as well as disease related characteristics, a depression scale (CES-D), and the self-care activity scale developed by Kim (1996). $HbA_1c$ was obtained from medical records. Results: There were 50 men (41.7%) and 70 women (58.3%). The mean scores for depression and self-care activity were $18.22{\pm}10.03$ and 3.51, respectively. Almost half of the Participants (46.7%) had an $HbA_1c$ greater than 7%. Self-care activity was negatively correlated with depression (r=-.436, p=0.00) and $HbA_1c$ (r=-.269, p=0.03). Depression was positively correlated with $HbA_1c$ (r=-.325, p=0.00). Participants who had diabetes education showed a significantly lower level of $HbA_1c$ than the group who had never had diabetes education. Conclusions: It is Important to make ensure that patients with diabetes have education on diabetes mellitus and to screen and manage depression as part of the care for these patients.

• Journal of Periodontal and Implant Science
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• v.51 no.6
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• pp.409-421
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• 2021

Purpose: The aim of this study was to compare the prevalence and bacterial load of 6 main periodontal pathogens between pairs of periodontal patients with and without type 2 diabetes mellitus. Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans genotypes were also investigated. Methods: Twenty patients affected by chronic periodontitis and type 2 diabetes were retrospectively selected and matched to 20 patients without diabetes on the basis of the degree and severity of periodontal disease. Microbiological data of subgingival biofilms were analysed and compared for the examined pathogens: A. actinomycetemcomitans, P. gingivalis, Prevotella intermedia, Treponema denticola, Fusobacterium nucleatum, and Tannerella forsythia. Results: The pairs were balanced in terms of demographic and clinical parameters, except for bleeding on probing and suppuration. In the microbiological test sites (4 for each patient), the mean probing pocket depth was 6.34±1.63 mm in patients with diabetes and 6.41±1.78 mm in patients without diabetes. No significant difference between pairs in the prevalence of P. gingivalis or the distribution of its genotypes was recorded. Patients with diabetes had a significantly greater amount of total bacterial load, P. gingivalis, T. denticola, T. forsythia, and F. nucleatum (P<0.05). Moreover, patients with diabetes had a higher number of sites with a greater cell count than patients without diabetes. When compared to the total bacterial load, only T. forsythia maintained its relative load in patients with diabetes (P=0.001). Conclusions: This retrospective matched study supports the hypothesis that microbiological differences exist among periodontal patients with and without diabetes mellitus.

• Clinical and Experimental Pediatrics
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• v.48 no.11
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• pp.1239-1243
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• 2005

Purpose : Iron accumulation interferes with hepatic insulin extraction and affects insulin synthesis and secretion. The purpose of this study is to investigate the correlation between serum ferritin and type 2 diabetes mellitus. Methods : We compared the serum ferritin level among 18 patients in an impaired glucose tolerance (IGT) group, 36 in a type 1 diabetes group, eight in a type 2 diabetes group and 29 in a healthy control group. The correlation between serum ferritin levels and sex, body mass indices(BMI), blood pressure(BP), serum fasting sugar level and serum fasting insulin level were also analyzed. Results : The mean log ferritin were $1.33{\pm}0.32$(healthy control group), $1.63{\pm}0.19$(IGT group) and $1.90{\pm}0.30$(type 2 diabetes group). In the IGT group, log ferritin was higher than in the healthy control group(P=0.001). The log ferritin of the type 2 diabetes group was higher than that of the healthy control group(P=0.001). Comparing log ferritin to other factors, log ferritin had a significant positive correlation with body mass indices(P<0.001), systolic blood pressure(P=0.001), and fasting glucose(P=0.001), fasting insulin(P=0.002). Conclusion : Compared to the normal healthy group, serum ferritin concentrations were significantly higher in the IGT group and the type 2 diabetes group. The elevation of serum ferritin concentration may be a risk factor of type 2 diabetes mellitus.

• Restorative Dentistry and Endodontics
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• v.37 no.1
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• pp.61-65
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• 2012

Patients with diabetes mellitus show delayed wound healing and increased susceptibility to infection. Therefore, the effects of diabetes on pulpal and periodontal healing should be taken into consideration when treating diabetic dental traumatized patients. This case presents the treatment for dental traumatized 20 yr old female with uncontrolled type II diabetes. The traumatized upper central incisors had showed pulpal healing in early days. However, 7 mon after the trauma, the teeth had been diagnosed with pulp necrosis with apical abscess. Eventually, non surgical root canal treatment on the teeth had been performed.

• Journal of Periodontal and Implant Science
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• v.40 no.1
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• pp.33-38
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• 2010

Purpose: The purpose of this study was to observe and quantify the expression of interleukin-4 (IL-4), interferon-$\gamma$ (IFN-$\gamma$), and tissue inhibitor of matrix metalloproteinase-2 (TIMP-2) in the gingival tissue of patients with type 2 diabetes mellitus (DM) and healthy adults with chronic periodontitis. Methods: Twelve patients with type 2 DM and chronic periodontitis (Group 3), twelve patients with chronic periodontitis (Group 2), and twelve healthy individuals (Group 1) were included in the study. Clinical criteria of gingival (sulcus bleeding index value, probing depths) and radiographic evidences of bone resorption were divided into three groups. The concentrations of cytokines were determined by a western blot analysis and compared using one-way ANOVA followed by Tukey's test. Results: The expression levels of IFN-$\gamma$ and TIMP-2 showed an increasing tendency in Groups 2 and 3 when compared to Group 1. On the other hand, the expression of IL-4 was highest in Group 1. Conclusions: The findings suggest that IFN-$\gamma$ and TIMP-2 may be involved in the periodontal inflammation associated with type 2 DM. IL-4 may be involved in the retrogression of the periodontal inflammation associated with type 2 DM.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.9-13
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• 2021

Type 2 diabetes mellitus (T2D) is a complex diabetes disease that is caused by high blood sugar, insulin resistance, and a relative lack of insulin. Many studies are trying to predict variant genes that causes this disease by using a sample disease model. In this paper we predict diabetic and normal persons by using fisher score feature selection, chi-2 feature selection and Logistic Regression supervised learning algorithm with best accuracy of 90.23%.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.203-208
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• 2022

The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

• Journal of Preventive Medicine and Public Health
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• v.44 no.4
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• pp.157-166
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• 2011

Objectives: This study was conducted to show the intraocular pressure (IOP) distribution and the factors affecting IOP in subjects with type 2 diabetes mellitus (DM) in India. Methods: We measured the anthropometric and biochemical parameters for confirmed type 2 DM patients. A comprehensive ocular examination was performed for 1377 subjects aged > 40 years and residing in Chennai. Results: A significant difference in IOP (mean ${\pm}$ standard deviation) was found between men and women ($14.6{\pm}2.9$ and $15.0{\pm}2.8$ mmHg, p = 0.005). A significantly elevated IOP was observed among smokers, subjects with systemic hypertension and women with clinically significant macular edema (CSME). After a univariate analysis, factors associated significantly with higher IOP were elevated systolic blood pressure, elevated resting pulse rate and thicker central corneal thickness (CCT). In women, elevated glycosylated hemoglobin was associated with a higher IOP. After adjusting for all variables, the elevated resting pulse rate and CCT were found to be associated with a higher IOP. Conclusions: Systemic hypertension, smoking, pulse rate and CCT were associated with elevated intraocular pressure in type 2 DM. Women with type 2 DM, especially those with CSME, were more prone to have an elevated IOP.

• Diabetes and Metabolism Journal
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• v.42 no.6
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• pp.496-512
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• 2018

Background: This study aimed to investigate the association between the presence and severity of cardiovascular autonomic neuropathy (CAN) and development of long-term glucose fluctuation in subjects with type 2 diabetes mellitus. Methods: In this retrospective cohort study, subjects with type 2 diabetes mellitus who received cardiovascular autonomic reflex tests (CARTs) at baseline and at least 4-year of follow-up with ${\geq}6$ measures of glycosylated hemoglobin (HbA1c) were included. The severity of CAN was categorized as normal, early, or severe CAN according to the CARTs score. HbA1c variability was measured as the standard deviation (SD), coefficient of variation, and adjusted SD of serial HbA1c measurements. Results: A total of 681 subjects were analyzed (294 normal, 318 early, and 69 severe CAN). The HbA1c variability index values showed a positive relationship with the severity of CAN. Multivariable logistic regression analysis showed that CAN was significantly associated with the risk of developing higher HbA1c variability (SD) after adjusting for age, sex, body mass index, diabetes duration, mean HbA1c, heart rate, glomerular filtration rate, diabetic retinopathy, coronary artery disease, insulin use, and anti-hypertensive medication (early CAN: odds ratio [OR], 1.65; 95% confidence interval [CI], 1.12 to 2.43) (severe CAN: OR, 2.86; 95% CI, 1.47 to 5.56). This association was more prominent in subjects who had a longer duration of diabetes (>10 years) and lower mean HbA1c (<7%). Conclusion: CAN is an independent risk factor for future higher HbA1c variability in subjects with type 2 diabetes mellitus. Tailored therapy for stabilizing glucose fluctuation should be emphasized in subjects with CAN.